OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction

OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction

OneEmo is a unified affective generalist that leverages multi-task supervised fine-tuning and a reinforcement learning strategy to improve emotional reasoning across perception, co…

Hugging Face · Daily Papers ·Jiahao Huang, Zheng Lian · ·▲ 1 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Jiahao Huang, Zheng Lian, Jingyi Zhang, Zhide Chen, Xiaojiang Peng, Shaonan Wang

  • 1 upvotes da comunidade
  • Temas: Multimodal Large Language Models, supervised fine-tuning, multi-task learning, reinforcement learning, reward allocation, affective computing

Resumo

Resumo original (em inglês), extraído do paper:

OneEmo is a unified affective generalist that leverages multi-task supervised fine-tuning and a reinforcement learning strategy to improve emotional reasoning across perception, comprehension, and interaction tasks.

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